contouR

contouR is a package that is a wraparound for ggplot2::geom_contour() to use for generative art. geom_contour() allows one to visualize 3D surfaces in 2D by using x, y and z coordinates. To change it up from the typical contour plot, there are three different distributions used to generate the z values: rnorm(), runif(), and rpois().

Installation

You can install the current verion of contouR from GitHub with:

# install.packages("devtools")
devtools::install_github("Ijeamakaanyene/contouR")

If you make any fun art with this package, please feel free to contact me on twitter @ijeamaka_a to show it off 🌔

Example: without rings

library(contouR)

#set up your data
setup = contour_grid(grid_size = 30, point_dist = .25, 
             z_method = "runif", z = 1, z_span = 3) %>%
  contour_shape(radius = 10.2, 
                x_center = 7, y_center = 7) 

# plot your data
contour_plot(setup$grid_shape) +
  ggplot2::xlim(1, 30) +
  ggplot2::ylim(1, 30)

Example: with rings

#set up your data
setup = contour_grid(grid_size = 30, point_dist = .25, 
             z_method = "runif", z = 1, z_span = 3) %>%
  contour_shape(radius = 10.2, 
                x_center = 10, y_center = 10, 
                ring_system = "multiple",
                num_rings = 10)

# plot your data
contour_plot(setup$grid_shape, setup$rings) +
  ggplot2::xlim(1, 30) +
  ggplot2::ylim(1, 30)
#> Warning: Removed 407 row(s) containing missing values (geom_path).

Example: without contour shape

#set up your data
setup = contour_grid(grid_size = 30, point_dist = .25, 
             z_method = "runif", z = 1, z_span = 3)

# plot your data
contour_plot(setup) +
  ggplot2::xlim(1, 30) +
  ggplot2::ylim(1, 30)